1.2021 Asian Pacific Society of Cardiology Consensus Recommendations on the use of P2Y12 receptor antagonists in the Asia-Pacific Region: Special populations.
W E I C H I E H T A N TAN ; P C H E W CHEW ; L A M T S U I TSUI ; T A N TAN ; D U P L Y A K O V DUPLYAKOV ; H A M M O U D E H HAMMOUDEH ; Bo ZHANG ; Yi LI ; Kai XU ; J O N G ONG ; Doni FIRMAN ; G A M R A GAMRA ; A L M A H M E E D ALMAHMEED ; D A L A L DALAL ; T A N TAN ; S T E G STEG ; N N G U Y E N NGUYEN ; A K O AKO ; A L S U W A I D I SUWAIDI ; C H A N CHAN ; S O B H Y SOBHY ; S H E H A B SHEHAB ; B U D D H A R I BUDDHARI ; Zu Lv WANG ; Y E A N Y I P F O N G FONG ; K A R A D A G KARADAG ; K I M KIM ; B A B E R BABER ; T A N G C H I N CHIN ; Ya Ling HAN
Chinese Journal of Cardiology 2023;51(1):19-31
3.Development and validation of a prognostic prediction model for patients with stage Ⅰ to Ⅲ colon cancer incorporating high-risk pathological features.
K X LI ; Q B WU ; F Q ZHAO ; J L ZHANG ; S L LUO ; S D HU ; B WU ; H L LI ; G L LIN ; H Z QIU ; J Y LU ; L XU ; Z WANG ; X H DU ; L KANG ; X WANG ; Z Q WANG ; Q LIU ; Y XIAO
Chinese Journal of Surgery 2023;61(9):753-759
Objective: To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. Methods: This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. Results: Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). Conclusions: The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
Male
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Female
;
Humans
;
Prognosis
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Neoplasm Staging
;
Retrospective Studies
;
Nomograms
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Lymph Nodes/pathology*
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Risk Factors
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Colonic Neoplasms/surgery*
5.APPL2 Negatively Regulates Olfactory Functions by Switching Fate Commitments of Neural Stem Cells in Adult Olfactory Bulb via Interaction with Notch1 Signaling.
Chong GAO ; Tingting YAN ; Xingmiao CHEN ; Kenneth K Y CHENG ; Aimin XU ; Jiangang SHEN
Neuroscience Bulletin 2020;36(9):997-1008
Adult olfactory neurogenesis plays critical roles in maintaining olfactory functions. Newly-generated neurons in the subventricular zone migrate to the olfactory bulb (OB) and determine olfactory discrimination, but the mechanisms underlying the regulation of olfactory neurogenesis remain unclear. Our previous study indicated the potential of APPL2 (adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 2) as a modulating factor for neurogenesis in the adult olfactory system. In the present study, we report how APPL2 affects neurogenesis in the OB and thereby mediates olfactory discrimination by using both in vitro neural stem cells (NSCs) and an in vivo animal model-APPL2 transgenic (Tg) mice. In the in vitro study, we found that APPL2 overexpression resulted in NSCs switching from neuronal differentiation to gliogenesis while APPL2 knockdown promoted neurogenesis. In the in vivo study, APPL2 Tg mice had a higher population of glial cells and dampened neuronal production in the olfactory system, including the corpus callosum, OB, and rostral migratory stream. Adult APPL2 Tg mice displayed impaired performance in olfactory discrimination tests compared with wild-type mice. Furthermore, we found that an interaction of APPL2 with Notch1 contributed to the roles of APPL2 in modulating the neurogenic lineage-switching and olfactory behaviors. In conclusion, APPL2 controls olfactory discrimination by switching the fate choice of NSCs via interaction with Notch1 signaling.
6.Prevalence of antiretroviral drug resistance in treatment-naive injecting drug users infected with HIV-1 in Guangzhou, 2008-2015.
L Q XU ; Z G HAN ; Y L ZHANG ; H WU ; K GAO ; Q M LI ; H F XU ; Y S CAI ; Y XIA
Chinese Journal of Epidemiology 2019;40(2):196-201
Objective: To understand the prevalence of drug resistance in treatment-naive injecting drug users (IDUs) infected with HIV-1 in Guangzhou. Methods: HIV-1 RNA were extracted from the serum specimens of the newly confirmed HIV-1 positive IDUs living in Guangzhou, being infected through injecting drug use and receiving no antiretroviral therapy at the time of confirmation during 2008-2015. Full sequence of pol protease (PR) gene and partial sequence of reverse transcriptase (RT) gene were amplified by nested reverse transcription polymerase chain reaction (nested-PCR) and sequenced. After that, data were submitted to the HIV resistance database of Stanford University for drug resistance analysis. Results: Among the 518 HIV-1 infected IDUs, HIV-1pol gene segments were successfully obtained from the serum samples of 407 HIV-1 infected IDUs (78.57%) aged 18-64 (37.44±8.14) years. Among them, males accounted for 89.68% (365/407), those of Han ethnic group accounted for 89.93% (366/407), the unmarried accounted for 55.28% (225/407), and those with education level of junior high school or below accounted for 83.78% (341/407). The distribution of subtypes was predominated by CRF07_BC (47.18%, 192/407), followed by CRF01_AE (23.83%, 97/407), CRF08_BC (22.85%, 93/407), and other subtypes (6.14%, 25/407). The overall prevalence of drug resistance was 3.44% (14/407). The prevalence of drug resistance to protease inhibitors, nucleoside reverse transcriptase inhibitors and non-nucleoside reverse transcriptase inhibitors were 1.47%(6/407), 0.25% (1/407) and 1.72% (7/407) respectively. The mutation rate was 12.29% (50/407). No major drug resistance mutation was detected in protease and nucleoside reverse transcriptase regions. Higher rate of V179E mutation in the non-nucleoside reverse transcriptase region was detected in other subtypes and subtype CRF07_BC. Mutation seemed to have occurred in all 8 cases of subtype CRF55_01B in other subtypes. The highest mutation rate of E138A was detected in subtype CRF08_BC (3.23%). Two cases were resistant to all four drugs of NNRTIs. Conclusions: The prevalence of drug resistance in treatment-naive HIV-1 positive IDUs remained at a relatively low level during 2008-2015, in Guangzhou. Most infections were sensitive to existing antiviral drugs. However, drug resistance surveillance in IDUs infected with HIV should be strengthened to prevent the prevalence of multi-drug resistance and cross drug resistance.
Adolescent
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Adult
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Child
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Drug Resistance, Viral/genetics*
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Drug Users
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Genes, pol/genetics*
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Genotype
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HIV Infections/psychology*
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HIV-1/isolation & purification*
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Humans
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Male
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Mutation
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Prevalence
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RNA, Viral/genetics*
;
Young Adult
7.Identification and drug susceptibility testing of Mycobacterium thermoresistibile and Mycobacterium elephantis isolated from a cow with mastitis.
W B LI ; L Y JI ; D L XU ; H C LIU ; X Q ZHAO ; Y M WU ; K L WAN
Chinese Journal of Epidemiology 2018;39(5):669-672
Objective: To understand the etiological characteristics and drug susceptibility of Mycobacterium thermoresistibile and Mycobacterium elephantis isolated from a cow with mastitis and provide evidence for the prevention and control of infectious mastitis in cows. Methods: The milk sample was collected from a cow with mastitis, which was pretreated with 4% NaOH and inoculated with L-J medium for Mycobacterium isolation. The positive cultures were initially identified by acid-fast staining and multi-loci PCR, then Mycobacterium species was identified by the multiple loci sequence analysis (MLSA) with 16S rRNA, hsp65, ITS and SodA genes. The drug sensitivity of the isolates to 27 antibiotics was tested by alamar blue assay. Results: Two anti-acid stain positive strains were isolated from the milk of a cow with mastitis, which were identified as non-tuberculosis mycobacterium by multi-loci PCR, and multi-loci nucleic acid sequence analysis indicated that one strain was Mycobacterium thermoresistibile and another one was Mycobacterium elephantis. The results of the drug susceptibility test showed that the two strains were resistant to most antibiotics, including rifampicin and isoniazid, but they were sensitive to amikacin, moxifloxacin, levofloxacin, ethambutol, streptomycin, tobramycin, ciprofloxacin and linezolid. Conclusions:Mycobacterium thermoresistibile and Mycobacterium elephantis were isolated in a cow with mastitis and the drug susceptibility spectrum of the pathogens were unique. The results of the study can be used as reference for the prevention and control the infection in cows.
Animals
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Anti-Bacterial Agents/pharmacology*
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Antitubercular Agents/pharmacology*
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Cattle
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Drug Resistance, Bacterial
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Female
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Humans
;
Mastitis, Bovine/microbiology*
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Microbial Sensitivity Tests
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Milk/microbiology*
;
Mycobacterium/isolation & purification*
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Mycobacterium Infections/veterinary*
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Mycobacterium tuberculosis/drug effects*
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Nontuberculous Mycobacteria/isolation & purification*
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Polymerase Chain Reaction
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RNA, Ribosomal, 16S/genetics*
8.Effect of maximum blood pressure fluctuation on prognosis of patients with acute ischemic stroke within 24 hours after hospital admission.
H WANG ; Y TANG ; Y ZHANG ; K XU ; J B ZHAO
Chinese Journal of Epidemiology 2018;39(5):682-685
Objective: To investigate the relationship between the maximum blood pressure fluctuation within 24 hours after admission and the prognosis at discharge. Methods: The patients with ischemic stroke admitted in Department of Neurology of the First Affiliated Hospital of Harbin Medical University within 24 hours after onset were consecutively selected from April 2016 to March 2017. The patients were grouped according to the diagnostic criteria of hypertension. Ambulatory blood pressure of the patients within 24 hours after admission were measured with bedside monitors and baseline data were collected. The patients were scored by NIHSS at discharge. The relationships between the maximum values of systolic blood pressure (SBP) or diastolic blood pressure (DBP) and the prognosis at discharge were analyzed. Results: A total of 521 patients with acute ischemic stroke were enrolled. They were divided into normal blood pressure group (82 cases) and hypertension group(439 cases). In normal blood pressure group, the maximum values of SBP and DBP were all in normal distribution (P>0.05). The maximum value of SBP fluctuation was set at 146.6 mmHg. After adjustment for potential confounders, the OR for poor prognosis at discharge in patients with SBP fluctuation ≥146.6 mmHg was 2.669 (95%CI: 0.594-11.992) compared with those with SBP fluctuation <146.6 mmHg. The maximum value of DBP fluctuation was set at 90.0 mmHg, and the adjusted OR for poor prognosis at discharge in patients with DBP fluctuation ≥90.0 mmHg was 0.416 (95%CI: 0.087-1.992) compared with those with DBP fluctuation <90.0 mmHg. In hypertension group, the maximum values of SBP and DBP were not in normal distribution (P<0.05). The maximum value of SBP fluctuation was set at median 171.0 mmHg. After adjustment for the confounders, the greater the maximum of SBP, the greater the risk of poor prognosis at discharge was, the OR was 1.636 (95%CI: 1.014-2.641). The maximum value of DBP fluctuation was set at median 98.0 mmHg. After adjustment for the confounders, the greater the maximum of DBP, the greater the risk of poor prognosis at discharge was, the OR was 1.645 (95%CI: 1.003-2.697). Conclusion: In acute ischemic stroke patients with normal blood pressure at admission, the maximum values of SBP and DBP within 24 hours after admission had no relationship with prognosis at discharge. In acute ischemic stroke patients with hypertension at admission, the maximum values of SBP and DBP within 24 hours after admission were associated with poor prognosis at discharge.
Adult
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Blood Pressure/physiology*
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Blood Pressure Monitoring, Ambulatory
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Brain Ischemia/physiopathology*
;
Hospitals
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Humans
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Hypertension/physiopathology*
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Outcome Assessment, Health Care
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Patient Admission
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Patient Discharge
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Prognosis
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Risk
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Stroke/physiopathology*
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Time-to-Treatment
9.Association between blood pressure related dietary patterns and identified cognitive performance in the elderly Chinese-a study by reduced rank regression method.
Z X YIN ; Z P REN ; X G XU ; J ZHANG ; Z Q WANG ; M ZHANG ; Y ZHAI ; P K SONG ; Y F ZHAO ; S J PANG ; S Q MI ; W H ZHAO
Chinese Journal of Epidemiology 2018;39(6):781-785
Objective: To study the association between blood pressure related dietary pattern and cognitive impairment in the elderly. Methods: In 2015, all participants who were aged ≥60 and participated in the Nutrition and Chronic disease family cohort were involved in the study. Information on demographic variables, lifestyle and health status was collected. Cognitive performance was assessed by the Mini Mental State Evaluation (MMSE) scale. Blood pressure, height and weight were measured by trained medical personnel and fasting venous blood samples were collected for testing on serum level of triglycerides and total cholesterol. Both SBP and DBP were used as response variables when dietary patterns were identified by reduced rank regression method. Logistic regression models were fit to explore the associations of scores on blood pressure-related dietary pattern and cognitive impairment. Results: Two blood related dietary patterns were identified. The first one was characterized by high consumption of vegetables and less meat, eggs and dessert (Pattern 1), while the second one was with high consumption of meat, soy products, wine and fried foods and less intake of dairy (Pattern 2). Data showed that the Pattern 1 was associated with the risk of cognitive impairment. Comparing with the lowest quartile of score of this dietary pattern, the risk of cognitive impairment in the highest quartile group showed a significant (P<0.01) increase, with OR=1.94 (1.21-3.11) and showing significant (P=0.002) linear trend. However, no significant association was observed (P>0.05) with cognitive impairment in the second dietary pattern. Conclusion: Blood pressure-related dietary pattern was positively associated with cognitive impairment.
Aged
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Aged, 80 and over
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Asian People
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Blood Pressure/physiology*
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Body Weight
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Cognitive Aging
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Cognitive Dysfunction/blood*
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Cohort Studies
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Diet
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Feeding Behavior
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Female
;
Humans
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Logistic Models
;
Male
;
Meat
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Middle Aged
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Nutritional Status
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Red Meat
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Risk Factors
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Seafood
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Surveys and Questionnaires
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Vegetables
10.Recent transmission of pulmonary tuberculosis and its influencing factors in Jing'an district, Shanghai, 2010-2015.
Z Y HAN ; J LI ; K K GU ; G M SUN ; Y JIANG ; Y Y ZHANG ; B XU
Chinese Journal of Epidemiology 2018;39(10):1339-1345
Objective: To understand the recent transmission of Mycobacterium tuberculosis (MTB), and to identify the influencing factors of recent transmission among pulmonary tuberculosis (TB) patients in Jing'an district, Shanghai. Methods: The genotypes and drug resistances of MTB isolated from TB patients registered in the TB designated hospitals in Jing'an district during 2010-2015 were analyzed through 12-loci Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR)(QUB11b, QUB18, Mtub21, Miru26, QUB26, Mtub04, Miru31, Miru40, VNTR2372, VNTR3820, 3232, 4120), and tested for drug susceptibility as well. With the results of field epidemiological investigation, univariate and multivariate analyses were performed to analyze the distribution of the clusters and influencing factors on recent transmission. Results: This study enrolled 80 TB patients, 23 (28.75%) had a resistance to at least one anti-TB drug, and the prevalence of multidrug-resistant tuberculosis (MDR-TB) was 16.25%. A total of 65 genotypes were identified with 58 (72.50%, 58/80) being unique and 7 clusters with 2-10 isolated in each cluster. The proportion of clustering was 27.50% (22/80). Results from the multivariate analysis revealed that multidrug- resistance (OR=35.799, 95%CI: 4.239-302.346) and having comorbidity with TB (OR=7.695, 95%CI: 1.421-41.658) were independently associated with the clustering, which suggesting a recent transmission. The field investigation to the clustered cases proved that the patients in two clusters had epidemiological links, one was between family members, and the other contained 10 MDR-TB patients with 9 knowing each other which have a definite connection and 1 having the possible connection with them. Conclusion: Recent transmission of tuberculosis happened among TB patients in Jing'an district, with high risks among the MDR-TB patients.
China
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Cluster Analysis
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Genotype
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Humans
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Mycobacterium tuberculosis/isolation & purification*
;
Tuberculosis
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Tuberculosis, Multidrug-Resistant/transmission*
;
Tuberculosis, Pulmonary/transmission*

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